Evidence map›Paper›PMID 41593091›Full record

ArticleScientific data2026

The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset.

Dominic LaBella, Katherine Schumacher, Michael Mix, Kevin Leu, Shan McBurney-Lin, Pierre Nedelec, Javier Villanueva-Meyer, David R Raleigh, Jonathan Shapey, Tom Vercauteren and 62 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

72 authors.

Dominic LaBellaDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA. dominic.labella@duke.edu.ORCID http://orcid.org/0000-0003-1713-9538
Katherine SchumacherDepartment of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, USA.
Michael MixDepartment of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, USA.
Kevin LeuCenter for Intelligent Imaging (ci2), Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.
Shan McBurney-LinCenter for Intelligent Imaging (ci2), Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-9829-5748
Pierre NedelecCenter for Intelligent Imaging (ci2), Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-8535-1541
Javier Villanueva-MeyerCenter for Intelligent Imaging (ci2), Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.
David R RaleighDepartments of Radiation Oncology, Neurological Surgery, and Pathology, University of California San Francisco (UCSF), San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-9299-8864
Jonathan ShapeyDepartment of Neurosurgery, King's College Hospital, London, UK.ORCID http://orcid.org/0000-0003-0291-348X
Tom VercauterenSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0003-1794-0456
Kazumi ChiaGuy's and St Thomas' NHS Foundation Trust, London, UK.
Marina IvorySchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.ORCID http://orcid.org/0000-0001-5583-6700
Theodore BarfootSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Omar Al-SalihiGuy's and St Thomas' NHS Foundation Trust, London, UK.
Justin LeuDepartment of Radiation Oncology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA.
Lia M HalaszDepartment of Radiation Oncology, University of Washington/Fred Hutchinson Cancer Center, Seattle, WA, USA.
Yury VelichkoDepartment of Radiology, Northwestern University, Evanston, IL, USA.ORCID http://orcid.org/0000-0002-2287-5727
Chunhao WangDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
John P KirkpatrickDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Scott R FloydDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Zachary J ReitmanDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.ORCID http://orcid.org/0000-0002-9122-9550
Trey C MullikinDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Eugene J VaiosDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Ulas BagciDepartment of Radiation Oncology, Northwestern University, Evanston, IL, USA.ORCID http://orcid.org/0000-0001-7379-6829
Sean SachdevDepartment of Radiology, Northwestern University, Evanston, IL, USA.
Jona A Hattangadi-GluthDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
Tyler M SeibertDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
Nikdokht FaridDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Connor PuettDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA, USA.
Matthew W PeaseDepartment of Neurological Surgery, Indiana University School of Medicine, Indianapolis, IN, USA.
Kevin ShiueDepartment of Radiation Oncology, Indiana University, Indianapolis, IN, USA.
Syed M AnwarChildren's National Hospital, Washington, DC, USA.
Shahriar FaghaniDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Peter TaylorDepartment of Radiation Oncology, SUNY Upstate Medical University, Syracuse, NY, USA.
Pranav WarmanDuke University Medical Center, School of Medicine, Durham, NC, USA.
Jake AlbrechtSage Bionetworks, Seattle, USA.
András JakabUniversity of Zürich, Zürich, Switzerland.ORCID http://orcid.org/0000-0001-6291-9889
Mana MoassefiArtificial Intelligence Lab, Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Verena ChungSage Bionetworks, Seattle, USA.
Rong ChaiSage Bionetworks, Seattle, USA.
Alejandro AristizabalMLCommons, Beaverton, OR, USA.
Alexandros KarargyrisMLCommons, Beaverton, OR, USA.ORCID http://orcid.org/0000-0002-1930-3410
Hasan KassemMLCommons, Beaverton, OR, USA.
Sarthak PatiCenter For Federated Learning in Medicine, Indiana University, Indianapolis, IN, USA.
Micah ShellerMLCommons, Beaverton, OR, USA.
Nazanin MalekiYale University, New Haven, CT, USA.
Rachit SalujaCornell University, Ithaca, NY, USA.
Florian KoflerHelmholtz AI, Helmholtz Munich, Oberschleißheim, Germany.ORCID http://orcid.org/0000-0003-0642-7884
Christopher G SchwarzDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0002-1466-8357
Philipp LohmannInstitute of Neuroscience and Medicine (INM-4), Research Center Juelich, Juelich, Germany.
Phillipp VollmuthDepartment of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Louis GagnonDepartment of Radiology and Nuclear Medicine, Université Laval, Québec, Québec, Canada.
Maruf AdewoleMedical Artificial Intelligence (MAI) Lab, Crestview Radiology, Lagos, Nigeria.ORCID http://orcid.org/0000-0002-6562-2834
Li Hongwei BAthinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.
Anahita Fathi KazerooniChildren's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-7131-2261
Nourel H TahonUniversity of Missouri, Columbia, MO, USA.ORCID http://orcid.org/0009-0002-5863-0219
Udunna AnazodoMontreal Neurological Institute (MNI), McGill University, Montreal, QC, Canada.
Ahmed W MoawadMercy Catholic Medical Center, Darby, PA, USA.ORCID http://orcid.org/0000-0001-6860-1513
Bjoern MenzeDepartment of Neuroradiology, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0003-4136-5690
Marius G LinguraruChildren's National Hospital, Washington, DC, USA.
Mariam AboianChildren's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA.
Benedikt WiestlerDepartment of Neuroradiology, Technical University of Munich, Munich, Germany.ORCID http://orcid.org/0000-0002-2963-7772
Ujjwal BaidCenter For Federated Learning in Medicine, Indiana University, Indianapolis, IN, USA.
Gian-Marco ConteDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-5926-7517
Andreas M RauscheckerCenter for Intelligent Imaging (ci2), Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.
Ayman NadaUniversity of Missouri, Columbia, MO, USA.
Aly H AbayazeedNeosoma Inc. Stanford Medicine, Stanford, CA, USA.
Raymond HuangDepartment of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Maria Correia de VerdierDepartment of Surgical Sciences, Section of Neuroradiology, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-1164-1749
Jeffrey D RudieCenter for Intelligent Imaging (ci2), Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.
Spyridon BakasDepartment of Neurological Surgery, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0001-8734-6482
Evan CalabreseCenter for Intelligent Imaging (ci2), Department of Radiology and Biomedical Imaging, University of California San Francisco (UCSF), San Francisco, CA, USA.

Funding

Privacy-Aware Federated Learning for Breast Cancer Risk AssessmentU24CA279629 · NCI · INDIANA UNIVERSITY INDIANAPOLIS · PI Spyridon Bakas · 2023 to 2026
$2.9M
The Federated Tumor Segmentation (FeTS) platform: An intuitive tool facilitating secure multi-institutional collaborationU01CA242871 · NCI · UNIVERSITY OF PENNSYLVANIA · PI BAKAS, SPYRIDON · 2019 to 2021
$1.1M
Enhancing the efficacy of Radiation Therapy for brainstem glioma by targeting ATMK08CA256045 · NCI · DUKE UNIVERSITY · PI Zachary Reitman · 2022 to 2026
$1.1M
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) NCI/ITCR U01CA242871Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) NCI K08CA256045Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) U01CA242871Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) U24CA279629NCI NIH HHS K08 CA256045NCI NIH HHS U01 CA242871NCI NIH HHS U24 CA279629
6 · The paper itself

Abstract

Meningiomas are the most common primary intracranial tumors, frequently requiring radiotherapy as a part of management. Effective radiotherapy planning for meningiomas necessitates accurate and consistent segmentation of target volumes on MRI, a process that is complex, labor-intensive, and dependent on expert expertise. The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) Dataset addresses this problem by providing the largest multi-institutional collection of systematically annotated radiotherapy planning MRIs for meningiomas. Publicly accessible, this dataset comprises 570 radiotherapy planning 3D T1-weighted post-contrast MRIs at native resolutions, with 500 cases featuring expert-annotated gross tumor volumes (GTV). Annotations follow standardized radiotherapy planning protocols and include both intact and postoperative meningioma cases, ensuring wide clinical relevance. Contributions from seven diverse medical centers across the United States and the United Kingdom enhance the dataset's generalizability. The dataset aims to accelerate the development of automated segmentation methods for radiotherapy planning, improving workflow efficiency, reducing interobserver variability, and ultimately enhancing patient outcomes.

Indexed as

Brain NeoplasmsMeningeal NeoplasmsMeningiomaRadiotherapy Planning, Computer-AssistedHumansMagnetic Resonance Imaging

Identifiers

PMID41593091
PMCPMC12948943

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.